Anonymizing Bipartite Graph Data using Safe Groupings
Summary: Introduces (k, l)-groupings for bipartite graphs that preserve the graph structure perfectly while anonymizing the mapping from entities to graph nodes. Proposes safe groupings with provable attack resistance, algorithms to find them, and real-data experiments showing strong privacy-utility tradeoffs. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Graham Cormode
- 2. Divesh Srivastava
- 3. Ting Yu
- 4. Qing Zhang
Incoming Citations (Sorted by Pagerank)
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Outgoing Citations (Sorted by Pagerank)
Showing 2 of 2 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 654 | Anatomy: Simple and Effective Privacy Preservation | 2006 | VLDB | 0.00018613167 |
| 1,382 | Minimality Attack in Privacy Preserving Data Publishing | 2007 | VLDB | 0.00012281313 |
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